Python Customer Segmentation Predictive Analysis

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn.

What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include:

• A reproducible Python script or notebook
• The trained model (saved or easily retrainable)
• A brief report highlighting key segments, supporting charts, and recommendations on how to act on them

If you have experience with customer data and predictive segmentation, I’m ready to share a sample of the dataset so we can get started quickly.